公开(公告)号：US20160335540A1

公开(公告)日：2016-11-17

申请号：US15222870

申请日：2016-07-28

Applicant: Google Inc.

Inventor： Geoffrey E. Hinton ,  Alexander Krizhevsky ,  Ilya Sutskever ,  Nitish Srivastva

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/084 ,  G06K9/4628 ,  G06N3/0454 ,  G06N3/0472 ,  G06N3/082

Abstract: A system for training a neural network. A switch is linked to feature detectors in at least some of the layers of the neural network. For each training case, the switch randomly selectively disables each of the feature detectors in accordance with a preconfigured probability. The weights from each training case are then normalized for applying the neural network to test data.

Abstract translation: 用于训练神经网络的系统。 开关被连接到神经网络的至少一些层中的特征检测器。 对于每个训练情况，交换机根据预配置的概率随机选择性地禁用每个特征检测器。 然后对每个训练情况的权重进行归一化，以将神经网络应用于测试数据。

公开(公告)号：US09406017B2

公开(公告)日：2016-08-02

申请号：US14015768

申请日：2013-08-30

Applicant: Google Inc.

Inventor： Geoffrey E. Hinton ,  Alexander Krizhevsky ,  Ilya Sutskever ,  Nitish Srivastva

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/084 ,  G06K9/4628 ,  G06N3/0454 ,  G06N3/0472 ,  G06N3/082

Abstract: A system for training a neural network. A switch is linked to feature detectors in at least some of the layers of the neural network. For each training case, the switch randomly selectively disables each of the feature detectors in accordance with a preconfigured probability. The weights from each training case are then normalized for applying the neural network to test data.

Abstract translation: 用于训练神经网络的系统。 开关被连接到神经网络的至少一些层中的特征检测器。 对于每个训练情况，交换机根据预配置的概率随机选择性地禁用每个特征检测器。 然后对每个训练情况的权重进行归一化，以将神经网络应用于测试数据。

公开(公告)号：US20140180986A1

公开(公告)日：2014-06-26

申请号：US14015768

申请日：2013-08-30

Applicant: Google Inc.

Inventor： Geoffrey E. Hinton ,  Alexander Krizhevsky ,  Ilya Sutskever ,  Nitish Srivastva

IPC: G06N3/08

CPC classification number: G06N3/084 ,  G06K9/4628 ,  G06N3/0454 ,  G06N3/0472 ,  G06N3/082

Abstract: A system for training a neural network. A switch is linked to feature detectors in at least some of the layers of the neural network. For each training case, the switch randomly selectively disables each of the feature detectors in accordance with a preconfigured probability. The weights from each training case are then normalized for applying the neural network to test data.

Abstract translation: 用于训练神经网络的系统。 开关被连接到神经网络的至少一些层中的特征检测器。 对于每个训练情况，交换机根据预配置的概率随机选择性地禁用每个特征检测器。 然后对每个训练情况的权重进行归一化，以将神经网络应用于测试数据。